| 基于RBF神经网络的粮食生产预测研究 |
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| 引用本文： | 伍长荣,胡学钢. 基于RBF神经网络的粮食生产预测研究[J]. 安徽工程科技学院学报：自然科学版, 2004, 19(4): 51-54 |
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| 作者姓名： | 伍长荣 胡学钢 |
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| 作者单位： | 1. 合肥工业大学,计算机与信息学院,安徽,合肥,230009;芜湖师专,计算机教学部,安徽,芜湖,241001
2. 合肥工业大学,计算机与信息学院,安徽,合肥,230009 |
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| 摘 要： | 提高中国粮食生产量的预测精度与效率是人们关注的一个重要问题.对RBF神经网络的结构、特性和训练算法作了简要的概述.根据粮食产量与其影响因素之间存在的映射关系,应用RBF神经网络建立了多因素非线性时间序列预测模型,并进行了仿真试验.结果表明,用RBF神经网络进行粮食生产预测得到了十分满意的结果.
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| 关 键 词： | RBF神经网络 粮食生产 预测 |
| 文章编号： | 1672-2477(2004)04-0051-04 |
| 修稿时间： | 2004-09-21 |
Research on corn production prediction based on RBF neural network |
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| WU Chang-Rong,HU Xue-Gang. Research on corn production prediction based on RBF neural network[J]. Journal of Anhui University of Technology and Science, 2004, 19(4): 51-54 |
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| Authors: | WU Chang-Rong HU Xue-Gang |
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| Abstract: | It is an important problem to improve the prediction precision and efficiency of the corn production prediction in China. The structure, the training methods and characteristics of RBF neural network are introduced briefly. A RBF neural network model is established based on the relationship between corn production and its influential factors to predict the multi-relative factors and non-linear time series. A simulation experimental investigation has been done, with satisfying results. |
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| Keywords: | RBF neural network corn production prediction |
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